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Recent Advances in NLP and How they Impact Trading /

Presented by Brittany Rockwell Researchers and financial practitioners alike are attempting to find meaningful applications for the newest advents in the field of natural language processing (NLP). Although language modelling for stock trading is not novel, the landscape has changed significantly in...

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Détails bibliographiques
Auteur principal: Salon, Data (Auteur, VerfasserIn.)
Collectivité auteur: Safari, an O'Reilly Media Company (Collaborateur, MitwirkendeR.)
Format: Vidéo
Langue:Inglés
Publié: [Erscheinungsort nicht ermittelbar] : Data Science Salon, 2018
Édition:1st edition.
Accès en ligne:Texto completo (Requiere registro previo con correo institucional)
Description
Résumé:Presented by Brittany Rockwell Researchers and financial practitioners alike are attempting to find meaningful applications for the newest advents in the field of natural language processing (NLP). Although language modelling for stock trading is not novel, the landscape has changed significantly in recent years. With the improvements of computational power, data storage and algorithmic efficiency, we have more data and modelling capacity at our disposal than ever before. A natural consequence of these changes is the exponential growth of available data. There is a growing need for automating the data exploration and identification process for low-latency downstream applications requiring timely forecasting or decision making. This talk will discuss some of the new advances in NLP and their relevance to text-driven trading.
Description:Online resource; Title from title screen (viewed March 24, 2018).
Description matérielle:1 online resource (1 video file, circa 30 min.)